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Proceedings Paper

Computational illumination for high-throughput intensity diffraction tomography of dynamic biological samples (Conference Presentation)

Paper Abstract

We present two computational illumination strategies for high-speed Intensity Diffraction Tomography (IDT) on dynamic, unlabeled biological samples. IDT provides quantitative volumetric reconstructions of biological samples but is slow, requiring hundreds of images under diverse illumination. We developed multiplexed IDT (mIDT) and annular IDT (aIDT) as software-based and hardware-based solutions improving IDT’s acquisition speed. mIDT optimally combines illuminations into each image for faster acquisition while aIDT uses fewer, single illuminations from a ring-geometry LED grid to achieve hardware-limited 5Hz and 10Hz volume rates, respectively. We demonstrate the improvement these techniques provide on living epithelial buccal cells and Caenorhabditis elegans worms.

Paper Details

Date Published: 11 March 2020
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Proc. SPIE 11249, Quantitative Phase Imaging VI, 112490A (11 March 2020); doi: 10.1117/12.2545295
Show Author Affiliations
Alex C. Matlock, Boston Univ. (United States)
Jiaji Li, Nanjing Univ. of Science and Technology (China)
Lei Tian, Boston Univ. (United States)


Published in SPIE Proceedings Vol. 11249:
Quantitative Phase Imaging VI
Yang Liu; Gabriel Popescu; YongKeun Park, Editor(s)

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